Results 61 to 70 of about 8,808 (262)

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

A Survey of Machine Learning Techniques for Optimal Capacitor Placement and Sizing in Smart Distribution Networks

IEEE Access
The increasing complexity of modern power distribution networks necessitates advanced strategies for reactive power compensation, particularly in capacitor placement and sizing.
Kwabena Addo, Katleho Moloi, Musasa Kabeya, Evans Eshiemogie Ojo   +3 more
doaj   +1 more source

T-Flash: A federated transformer-based vision framework for trash image classification under non-IID conditions [PDF]

Journal of Applied Research on Industrial Engineering
In response to the growing demand for efficient waste management, which is part of the Sustainable Development Goals (SDGs), automated trash classification is a pressing issue. Artificial Intelligence (AI) has found many applications in smart cities. One
Nahlah Flayyih Hasani, Mir Tajbakhsh, Asghar Asgharian Sardroud   +2 more
doaj   +1 more source

Sensors for Digital Transformation in Smart Forestry

Sensors
Smart forestry, an innovative approach leveraging artificial intelligence (AI), aims to enhance forest management while minimizing the environmental impact. The efficacy of AI in this domain is contingent upon the availability of extensive, high-quality data, underscoring the pivotal role of sensor-based data acquisition in the digital transformation ...
Florian Ehrlich-Sommer, Ferdinand Hönigsberger, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Andreas Holzinger   +5 more
openaire   +3 more sources

From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics

Advanced Functional Materials, EarlyView.
We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou, Bokeon Kwak, Dario Floreano, Esther Amstad   +3 more
wiley   +1 more source

Wearable Smart Patches on Sustainable Chitosan With Reversible Microbial Growth‐Inhibitory Properties

Advanced Functional Materials, EarlyView.
ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti, Kubra Kocak, Andrea Michel, Enrico Cavarzerani, Ali Raza, Petr Rohzin, Nouha Loudhaief, Saimir Frroku, Nicolò Baldovin, Hazrat Bilal, Alvise Perosa, Maurizio Selva, Flavio Rizzolio, Luca Sbuelz, Sabrina Tamburini, Domenico De Fazio, Giovanni Antonio Salvatore   +16 more
wiley   +1 more source

Self‐Sintering Ionogel Binder for Flexible, Recyclable, and Healable Printed Giant Magnetoresistive Sensors

Advanced Functional Materials, EarlyView.
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo, Xiaotao Wang, Guannan Mu, Proloy Taran Das, Igor Veremchuk, Conrad Schubert, Aaron D. Cross, Yevhen Zabila, Xuan Peng, Larysa Baraban, Denys Makarov   +10 more
wiley   +1 more source

Machine Learning-Based Sensor Data Modeling Methods for Power Transformer PHM

Sensors, 2018
An emerging prognostic and health management (PHM) technology has recently attracted a great deal of attention from academies, industries, and governments.
Anyi Li, Xiaohui Yang, Huanyu Dong, Zihao Xie, Chunsheng Yang   +4 more
doaj   +1 more source

Smart Transformer Protection Unit

, 2020
The transformer is an essential part of the transmission and appropriation framework. The point of creating, transformer security structure is to oversee in such a manner, that we are utilizing microcontroller and IoT to give programmed security and continuous observing to the transformer.
P. A. Werulkar, S. S. Chopade, S. V. Pole   +2 more
openaire   +2 more sources

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source